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Docker Ci Cd

Checked
pluginagentmarketplace·vlatest·cloud

Automate Docker image builds, testing, and deployments using CI/CD pipelines directly within your cloud environment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add pluginagentmarketplace/custom-plugin-docker --skill docker-ci-cd -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

pluginagentmarketplace

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned pluginagentmarketplace/custom-plugin-docker at d417263e40.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d417263e40
Manifest
skills/docker-ci-cd/SKILL.md
Scanned
4 files, 429 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill automates Docker container builds, testing, and deployment. It streamlines the CI/CD pipeline for applications packaged in Docker containers, ensuring consistent and repeatable releases. The skill handles image building, tagging, pushing to registries, and potentially triggering deployments based on configured workflows.

When to use it

  • Automating the build process of a new microservice or application containerized with Docker.
  • Setting up automated testing for Docker images before deployment.
  • Creating reproducible releases by consistently tagging and versioning Docker images.
  • Deploying updated Docker containers to staging or production environments automatically.

Key capabilities

  • Docker image building
  • Image tagging and versioning
  • Pushing images to container registries
  • CI/CD pipeline automation

Example prompts

  • "Build a Docker image for my application from the Dockerfile in this repository."
  • "Tag the latest Docker image as v1.2.3 and push it to Docker Hub."
  • “Run automated tests against the newly built Docker image.”

Tips & gotchas

This skill requires access to a Docker environment and potentially credentials for a container registry. Ensure your AI agent has the necessary permissions to build, tag, and push images.